RabbitMQ vs Celery: Distributed Task Queue
Struggling to choose between RabbitMQ and Celery: Distributed Task Queue? Both products offer unique advantages, making it a tough decision.
RabbitMQ is a Network & Admin solution with tags like messaging, queue, broker, amqp.
It boasts features such as Message queueing, Message routing, Load balancing, High availability, Clustering, Plugin system and pros including High performance, Reliable delivery, Flexible routing, Clustering support, Wide client library support, Management UI.
On the other hand, Celery: Distributed Task Queue is a Development product tagged with python, asynchronous, task-queue, job-queue, distributed.
Its standout features include Distributed - Celery is designed to run on multiple nodes, Async task queue - Allows defining, running and monitoring async tasks, Scheduling - Supports scheduling tasks to run at specific times, Integration - Integrates with many services like Redis, RabbitMQ, SQLAlchemy, Django, etc., and it shines with pros like Reliability - Tasks run distributed across nodes provides fault tolerance, Flexibility - Many configuration options to tune and optimize, Active community - Well maintained and good documentation.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
RabbitMQ
RabbitMQ is an open source message broker that implements the Advanced Message Queuing Protocol (AMQP). It is designed to receive, route and deliver messages between applications flexibly, reliably and at scale.
Categories:
RabbitMQ Features
- Message queueing
- Message routing
- Load balancing
- High availability
- Clustering
- Plugin system
Pricing
- Open Source
- Commercial License
Pros
Cons
Celery: Distributed Task Queue
Celery is an open source Python library for handling asynchronous tasks and job queues. It allows defining tasks that can be executed asynchronously, monitoring them, and getting notified when they are finished. Celery supports scheduling tasks and integrating with a variety of services.
Categories:
Celery: Distributed Task Queue Features
- Distributed - Celery is designed to run on multiple nodes
- Async task queue - Allows defining, running and monitoring async tasks
- Scheduling - Supports scheduling tasks to run at specific times
- Integration - Integrates with many services like Redis, RabbitMQ, SQLAlchemy, Django, etc.
Pricing
- Open Source